Package: mevr 1.2.3

mevr: Fitting the Metastatistical Extreme Value Distribution MEVD

Extreme value analysis with the metastatistical extreme value distribution MEVD (Marani and Ignaccolo, 2015, <doi:10.1016/j.advwatres.2015.03.001>) and some of its variants. In particular, analysis can be performed with the simplified metastatistical extreme value distribution SMEV (Marra et al., 2019, <doi:10.1016/j.advwatres.2019.04.002>) and the temporal metastatistical extreme value distribution TMEV (Falkensteiner et al., 2023, <doi:10.1016/j.wace.2023.100601>). Parameters can be estimated with probability weighted moments, maximum likelihood and least squares. The data can also be left-censored prior to a fit. Density, distribution function, quantile function and random generation for the MEVD, SMEV and TMEV are included. In addition, functions for the calculation of return levels including confidence intervals are provided. For a description of use cases please see the provided references.

Authors:Harald Schellander [aut, cre], Alexander Lieb [ctb], Marc-Andre Falkensteiner [ctb]

mevr_1.2.3.tar.gz
mevr_1.2.3.zip(r-4.5)mevr_1.2.3.zip(r-4.4)mevr_1.2.3.zip(r-4.3)
mevr_1.2.3.tgz(r-4.4-any)mevr_1.2.3.tgz(r-4.3-any)
mevr_1.2.3.tar.gz(r-4.5-noble)mevr_1.2.3.tar.gz(r-4.4-noble)
mevr_1.2.3.tgz(r-4.4-emscripten)mevr_1.2.3.tgz(r-4.3-emscripten)
mevr.pdf |mevr.html
mevr/json (API)
NEWS

# Install 'mevr' in R:
install.packages('mevr', repos = c('https://haraldschellander.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/haraldschellander/mevr/issues

Datasets:

On CRAN:

4.04 score 2 stars 1 scripts 105 downloads 16 exports 49 dependencies

Last updated 2 months agofrom:4daaabbbf5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

Exports:censored_weibull_fitdmevdtmevevent_separationfmevfsmevftmevordinary_eventspmevpp.weibullptmevqmevqtmevreturn.levels.mevrmevweibull_tail_test

Dependencies:bamlssBHclicodacodetoolscolorspacedata.tabledistributions3doParalleldplyrEnvStatsfansifarverforeachFormulagenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixMBAmgcvmmandmunsellmvtnormnlmenortestpillarpkgconfigR6RColorBrewerRcpprlangscalesspsurvivaltibbletidyselectutf8vctrsviridisLitewithr